This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
It is designed to be compatible with MongoDB. With Document databases at its core, AWS DocumentDB empowers you to effortlessly scale MongoDB compatible databases, orchestrating an ecosystem where your data becomes a valuable asset that works efficiently for your applications. How does Amazon DocumentDB Work?
Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects AWS Projects AWS Project-Website Monitoring using AWS Lambda and Aurora How to deal with slowly changing dimensions using Snowflake? Depending on the company you want to work with, you will be asked to learn them deeply.
Build your Data Engineer Portfolio with ProjectPro! Intermediate-level Data Engineer Portfolio Project Examples for 2024 Here are data engineering project ideas that you can explore and add to your data engineering portfolio to showcase practical experience with data engineering problems.
You'll also learn Docker, MongoDB integration, and container orchestration to deploy a scalable, end-to-end data pipeline. AWS Projects for Portfolio/Resume The most effective strategy to earn a hiring manager's trust is to showcase your ability to perform the tasks they need. 4) How to build a Portfolio for AWS Projects?
MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets. For organizations to keep the load off MongoDB in the production database, data processing is offloaded to Apache Hadoop.
Build A Book Library API For Cataloging Your Books Tools and Technologies: Python, FastAPI, MongoDB, Docker, SQLAlchemy, SQLite Project Solution Approach: Start by defining the API endpoints for your Book Library API. MongoDB can be a good choice for this project since it provides a flexible schema-less data model.
MEAN MEAN stands for MongoDB, Express.js, Angular, and Node.js. MongoDB is a NoSQL database where data are stored in a flexible way that is similar to JSON format. MERN MERN stands for MongoDB, Express.js, React, and Node.js. MongoDB is a NoSQL database used in web development. as a framework. In this Node.js
Cosmos DB supports open-source databases such as PostgreSQL , MongoDB , and Apache Cassandra. Moreover, it provides compatibility with popular open-source databases like PostgreSQL, MongoDB, and Apache Cassandra, enabling you to leverage existing skills and tools. Is Cosmos DB like MongoDB?
Distinguish between MongoDB and MySQL. MongoDB MySQL MongoDB is the right choice when you require high data availability with automatic, quick, and immediate data recovery. If you plan to scale up in the future, MongoDB includes a built-in sharding option. PREVIOUS NEXT <
MongoDB, Express, React, and Node.js Using the MERN stack, developers generate URLs like “application/users/create” On these URLs, individuals can then develop, view, and edit data saved and recovered by the MongoDB database. MongoDB is a document-oriented No-SQL database used to hold back-end applications.
Distinguish between MongoDB and MySQL. MongoDB MySQL MongoDB is the right choice when you require high data availability with automatic, quick, and immediate data recovery. If you plan to scale up in the future, MongoDB includes a built-in sharding option.
Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Big Data Developer Job Description A Big Data Developer is responsible for unlocking data's potential by creating, enhancing, and maintaining data processing systems within organizations.
With over more than one million active customers, AWS RDS is one of the most popular service in the AWS Portfolio used by thousands of organizations to power their relational databses. High-performance databases, including relational ones like MySQL and NoSQL ones like MongoDB and Cassandra.
Artificial Intelligence Engineer - Key Skills Excellent programming skills in Python, R, Java, and C++ Knowledge of linear algebra, probability, and statistics Understanding of big data technologies such as Hadoop , Cassandra, and MongoDB. Knowledge of artificial intelligence frameworks such as PyTorch, Theano, TensorFlow, and Caffe.
Full stack developers must be familiar with relational and non-relational data, NoSQL platforms, and storage options like MongoDB since they construct the bridges that link the client-side and server-side of a program. sends the requests to the database (MongoDB) and the acquired data back to Node.js. is called NPM. The Angular.js
Sqoop can also import data from NoSQL databases like MongoDB or Cassandra and also allows direct data transfer or Hive or HDFS. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Sqoop vs Flume - Architecture Apache Sqoop follows a connector-based architecture. Sqoop is not event-driven.
Learning NoSQL databases like MongoDB or Cassandra will also expand your skills, as they are used to handle unstructured and semi-structured data, common in big data environments. This includes understanding database management, with a focus on SQL (Structured Query Language) and NoSQL databases. Become an ETL Data Engineer with ProjectPro!
Integration with MongoDB Atlas: The integration of LangChain with MongoDB Atlas, a popular data platform, enhances LangChain's capabilities by providing support for efficient data storage and management through MongoDB Atlas. LangChain Project Ideas In this section, we are providing you three sample project ideas on LangChain.
Imagine you're reviewing your bank's app for investment opportunities, and it recommends specific stocks or investment portfolios based on your past investment behavior and risk tolerance. Portfolio Optimization- Financial Data Scientists optimize investment portfolios by allocating assets to maximize returns while minimizing risks.
Databases: They should be efficient at handling data from databases like MySQL, MongoDB, Redis, Oracle and SQLServer. Check out our live online workshops and build your portfolio of projects. Programming languages: They should be aces in at least one server-side coding language like Java, Python, Ruby or.Net.
and JavaScript used for the back-end Django, Rails, Express, Spring, Laravel, and other back-end frameworks Databases: Oracle, MySQL and MongoDB What Is a Full Stack Development Project? PHP, Java, C++, Python, Node.js A full-stack development project consists of developing both the front-end and the back-end of an application or web page.
Some popular choices include MySQL, MongoDB, Oracle Database, and SQLite. Step 3: Begin Building Your Portfolio / Resume A) Build Your Full Stack Development Portfolio The first step toward landing a job as a full-stack developer is building a portfolio. Here are a few tips to remember when building your portfolio.
Latest Trends in Big Data Analytics Hadoop , NoSQL, MongoDB, and Apache Spark are the buzzwords with big data technologies - reverberating to leave a digital trace of data in everyone’s life which can be used for analysis. Deep learning involves ingesting big data to neural networks to receive predictions in response.
CouchDB, MongoDB, Cassandra 4) What do you understand by Filters in HBase? Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects HBase Interview Questions for Experienced 1) How will you design the HBase Schema for Twitter data? 2) You want to fetch data from HBase to create a REST API.
Projects will challenge you, teach you new Python ideas, and assist you in developing a portfolio to demonstrate your skills to future employers. Step 4: Build a Data Science Portfolio as you Learn Python A portfolio is a must for aspirant data scientists because it's one of the critical qualities hiring managers look for in a prospect.
They get used in NoSQL databases like Redis, MongoDB , data warehousing. DB used in AWS MariaDB, Postgres, MongoDB, Oracle, MySQL are some common databases used in AWS. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects How to prepare for a Cloud Computing Job Interview?
Certificates are another way to enhance your big data portfolio. MongoDB , PostgreSQL) database management. YouTube tutorials, self-paced online courses, newsletters, and informational blogs written by top writers and big data professionals would help you start learning big data as per your schedule.
Whether you are a beginner or an experienced programmer, these top database projects with source codes can help you improve your skills and add value to your portfolio. Top Database Project Ideas Using MongoDBMongoDB is a popular NoSQL database management system that is widely used for web-based applications.
Link to your Projects Portfolio and GitHub Profile This is extremely important if you are a fresher. A better way to find open big data positions is to click on the advanced search as shown below and filter jobs through relevant keywords like Hadoop MapReduce, Spark, Python, R, MongoDB, Pig, Hive, HBase.
As the fifth course on the list of the top 20 full-stack developer courses, the power of MEAN Stack lies within a combination of MongoDB, Express.js, AngularJS, and Node.js, which offers seamless integration and endless potential for JavaScript developers. Duration 6 Months Price The fee for this course is INR 85,000.
Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Build a Portfolio: Build a portfolio of projects demonstrating your skills and experience. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.
Project Idea: Start by gathering basic details about Airbnb apartments from InsideAirbnb (location, descriptions, price range, and homepage URL) and saving it to MongoDB running on an EC2 instance. You can use the urllib2 library to scrape photos and other information from Airbnb apartments in Boston.
Engaging in software engineering projects not only helps sharpen your programming abilities but also enhances your professional portfolio. Furthermore, project-based learning contributes to building a compelling portfolio that demonstrates your expertise and captivates potential employers.
Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline? In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. ETL is the acronym for Extract, Transform, and Load.
Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL. It suggests learning popular programming languages such as Python, Java, and JavaScript, as well as understanding databases like MySQL, PostgreSQL, and MongoDB.
Distinguish between MongoDB and MySQL. MongoDB MySQL MongoDB is the right choice when you require high data availability with automatic, quick, and immediate data recovery. If you plan to scale up in the future, MongoDB includes a built-in sharding option. PREVIOUS NEXT <
Despite having a smaller service portfolio than Azure, Google Cloud can nonetheless fulfill all of your IaaS and PaaS needs. While SQL is well-known, other notable ones include Hadoop and MongoDB. Its user-friendliness and security are two of its main selling points. Data storage, management, and access skills are also required.
On the other hand, in NoSQL Databases such as Couchbase, Cassandra, and MongoDB , data is stored in the form of flat collections where this data is duplicated repeatedly and a single piece of data is hardly ever partitioned off but rather it is stored in the form of an entity.
Back-end engineers should have a solid grasp of server-side programming languages like Python, Ruby, and PHP as well as familiarity with database management systems like MySQL, MongoDB, and PostgreSQL. They can demonstrate their competence through a portfolio of projects, and the business they work for frequently verifies their abilities.
Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Amazon Aurora Amazon Aurora is a cutting-edge relational database engine offered by Amazon Web Services (AWS) that combines the best features of traditional databases with the performance and scalability of cloud-native architectures.
Below are a few examples of such databases: MongoDB is a source-available NoSQL type database that makes use of JSON-based documents consisting of key-value pairs. Unlike relational databases with pre-defined schema, MongoDB has a flexible schema and can store any kind and volume of data.
Build a Project Portfolio: Create a showcase of your work. Know how to work with systems like MySQL or MongoDB. Build a Portfolio: Create a portfolio showcasing your projects. Build a Strong Portfolio: Showcase your coding skills and projects in an online portfolio. or Angular for front-end and Node.js
As the fifth course on the list of the top 20 full-stack developer courses, the power of MEAN Stack lies within a combination of MongoDB, Express.js, AngularJS, and Node.js, which offers seamless integration and endless potential for JavaScript developers. Duration 6 Months Price The fee for this course is INR 85,000.
We organize all of the trending information in your field so you don't have to. Join 37,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content